Experimental study of electrical discharge drilling of stainless steel UNS S30400
In this study, overcut and taper angle were investigated in machining of stainless steel UNS S30400 against three different electrical discharge machining parameters which are electric current (Ip), pulse on-time (Ton) and pulse off-time (Toff). The electrode used was of 1 mm diameter with aspect...
| Main Authors: | , |
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| Format: | Conference or Workshop Item |
| Language: | English English English |
| Published: |
Institute of Physics Publishing
2018
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/64014/ http://irep.iium.edu.my/64014/ http://irep.iium.edu.my/64014/ http://irep.iium.edu.my/64014/8/64014_Experimental%20study%20of%20electrical%20discharge%20drilling_article.pdf http://irep.iium.edu.my/64014/7/64014_Experimental%20study%20of%20electrical%20discharge%20drilling_scopus.pdf http://irep.iium.edu.my/64014/19/64014_Experimental%20study%20of%20electrical%20discharge%20drilling_WoS.pdf |
| Summary: | In this study, overcut and taper angle were investigated in machining of stainless
steel UNS S30400 against three different electrical discharge machining parameters which are
electric current (Ip), pulse on-time (Ton) and pulse off-time (Toff). The electrode used was of 1
mm diameter with aspect ratio of 10. Dimensional accuracy was measured by evaluating
overcut and taper angle. Those two measurements were performed using optical microscope
model (Olympus BX41M, Japan). The experimentation planning, evaluation, analysis and
optimization have been carried out using DOE software version 10.0.3 RSM based method
with total number of twenty experiments. The research reveals that, discharge current was
found to have the most significant effect on overcut and taper angle followed by pulse on-time
and pulse off-time. As the discharge current and pulse on-time increase, overcut and taper
angle are increased. However, when pulse off-time increases, overcut and taper angle decrease.
The outcome result of this study will be very useful in the manufacturing industry to select the
appropriate parameters for the selected work material. The model has shown a great accuracy
with percentage error of less than 5%. |
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